
Konrad Krawczyk
@antibodymap
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Konrad Krawczyk. Bioinformatics, Antibodies, Data Mining. Founder at https://t.co/Sh6EV1YC5c, Assistant Professor of Computational Precision Medicine at https://t.co/g2NxuRhJWG.
DE-DK-PL
Joined November 2013
RT @naturalantibody: A new pre-print from our team demonstrated that pre-training on large set of antibody models allows producing #anitbod….
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RT @gahdritz: Our preprint on OpenFold, our trainable reproduction of AlphaFold2, is finally up (! Since we open-so….
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RT @OPIGlets: Our new tool, KA-Search, allows exhaustive yet efficient antibody mining through billions of natural sequences (from OAS and/….
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RT @RolandDunbrack: In the works for a LONG while - a new clustering of antibody CDR structures to update North et al (2011)/PyIgClassify.….
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RT @victorgreiff: New work from our @UiO_LifeSci ImmunoLingo convergence environment in which we leverage linguistics to formalize the anti….
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RT @naturalantibody: We are very happy to share our review of #machinelearning methods in #antibodydiscovery #antibodydevelopment realized….
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RT @naturalantibody: Can @DeepMind #Alphafold help in #antibodydiscovery? We tested its potential - find out what we discovered in this art….
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RT @ideasbyjin: Really excited to announce that AntiBERTa is now published in @Patterns_CP! Here we describe a transformer model that demon….
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RT @jeffruffolo: Excited to share IgFold, our new method for fast, accurate antibody structure prediction! IgFold achieves state-of-the-art….
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RT @BrianHie: The evolutionary velocity paper ended on a cliffhanger: protein language models could predict evolution retrospectively, but….
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RT @victorgreiff: Very happy that our review on the "Progress and challenges for the machine learning-based design of fit-for-purpose monoc….
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RT @victorgreiff: Happy to share our work on multi-dimensional comparison of immune repertoires. Amazing work by @cedricrweber. Great colla….
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RT @ideasbyjin: The @alchemabtx team are excited by the huge growth of BCR repertoire sequencing and analysis! We collected a list of paper….
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RT @jeffruffolo: Our work on generative language modeling for antibody sequences is now out on bioRxiv! 🧬 We take inspiration from text inf….
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The DB issue of NAR will have both INDI (db of nanobodies from structures, ncbi, patents, ngs, manual) + nanobody structure update to sabdab (. Good stuff @conctaylor @mijr12 @OPIGlets.
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Recent work on text mining vaccine-related news, quantifying volume & sentiment of coverage. @JemielniakD @ProfSamirBhatt
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RT @naturalantibody: Navigating millions of human #antibody sequences in next-generation sequencing #NGS repositories is hard, so scientist….
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RT @ideasbyjin: @alchemabtx's tech team are delighted to present our latest pre-print on an antibody-specific language model, AntiBERTa, on….
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RT @UWproteindesign: (1/8) Today we share the structures of protein complexes from nearly every core process in eukaryotic biology — from D….
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